235 search results - page 13 / 47 » Compiling Bayesian Networks Using Variable Elimination |
NN
1997
Springer
14 years 26 days ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
CJ
2010
13 years 6 months ago
2010
an be used to abstract away from the physical reality by describing it as components that exist in discrete states with probabilistically invoked actions that change the state. The...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
ISLPED
2004
ACM
14 years 2 months ago
2004
ACM
Microprocessor designers use techniques such as clock gating to reduce power dissipation. An unfortunate side-effect of these techniques is the processor current fluctuations th...
PLDI
2003
ACM
14 years 2 months ago
2003
ACM
We describe a technique for automatically proving compiler optimizations sound, meaning that their transformations are always semantics-preserving. We first present a domainspeci...